Databricks Data Engineer - Senior

📋 Description

• The role focuses on reconstructing, optimizing, and validating data pipelines aligned with
• Rebuild legacy data warehouse pipelines using Databricks, PySpark, and Spark SQL per
• Implement bronze, silver, and gold data layers following Medallion architecture and ingestion
• Execute migration waves by business domain while coexisting legacy and new platforms until cutover.
• Develop data transformations and automate testing across pipelines.
• Collaborate with engineers to improve data quality, reliability, and delivery processes.

🎯 Requirements

• 5+ years in Data Engineering roles.
• Advanced proficiency in PySpark and Python for large-scale batch pipelines, testing, and standards.
• Strong SQL for complex transformations and data modeling.
• Hands-on Databricks and Delta Lake experience with production workflows and Lakehouse patterns.
• Experience migrating/rebuilding ETL pipelines from legacy systems to Spark-based solutions with CDC
• Knowledge of AWS data services (S3, Glue, EMR, Athena, Lambda, DMS, Step Functions) and Azure

🎁 Benefits

• Opportunity to work on large-scale data modernization and Lakehouse initiatives.
• Remote work flexibility within Brazil.
• Exposure to Databricks, Delta Lake, Spark, AWS, and Azure.
• Collaborate with experienced engineers on high-impact data projects.
• Professional growth through AI, cloud, and data engineering practices.
• Tech-driven environment focused on innovation and continuous learning.